Banga vs Nevėžis: result 0-2 and analysis
1 LygaRegular Season - 19Kick-off on July 28, 2015 at 04:30 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Nevėžis?
Nevėžis won 0-2 on July 28, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 8 wins, 5 draws and 2 defeats; Nevėžis have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2015 | FK Panevezys(away) | 0-0 | 1 Lyga |
| Jul 3, 2015 | Trakai II(away) | 2-2 | 1 Lyga |
| Jun 28, 2015 | MRU(home) | 2-1 | 1 Lyga |
| Jun 23, 2015 | Kaunas(away) | 4-3 | 1 Lyga |
| Jun 20, 2015 | Lokomotyvas Radviliškis(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2015 | Minija(away) | 0-6 | 1 Lyga |
| Jul 2, 2015 | Kaunas(away) | 3-4 | 1 Lyga |
| Jun 27, 2015 | Kražantė(away) | 6-0 | 1 Lyga |
| Jun 24, 2015 | FK Panevezys(home) | 1-2 | 1 Lyga |
| Jun 20, 2015 | Šilas(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Banga wins, 0 draws, 1 Nevėžis win.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2015 | Nevėžis 1-0 Banga | 1 Lyga |
How many goals should we expect?
Banga score 1.6 and concede 1.1 goals per match over their last 15; Nevėžis score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.6 | 1.1 | 6 | 7/15 | 9/15 |
| Nevėžis | 2.1 | 1.5 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Banga vs Nevėžis?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy